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一项利用累积暴露和不良结局途径中的概念创建化学相互作用分类法的提议。

A proposal for creating a taxonomy of chemical interactions using concepts from the aggregate exposure and adverse outcome pathways.

作者信息

Price Paul, Leonard Jeremy

机构信息

National Exposure Research Lab, ORD, U.S. Environmental Protection Agency, 109 TW Alexander Drive, RTP, NC, 27711 USA.

Oak Ridge Institute for Science and Education, Environmental Media Assessment Group, National Center for Environmental Assessment, U.S. Environmental Protection Agency, 109 TW Alexander Drive, RTP, NC, 27711 USA.

出版信息

Curr Opin Toxicol. 2019 Aug 1;16:58-66. doi: 10.1016/j.cotox.2019.05.007.

DOI:10.1016/j.cotox.2019.05.007
PMID:33354636
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7751624/
Abstract

Currently, there is no single taxonomy for organizing data on the various types of chemical interactions that may affect risks from combined exposures. A taxonomy of chemical interactions is proposed that is based on a combination of the aggregate exposure pathways (AEPs) and adverse outcome pathways (AOPs) (AEP-AOP framework). The AEP-AOP framework organizes data on the causal events that ocur over the entire source-exposure-response continuum of a chemical's release. The proposed taxonomy uses this framework in two ways. First, four top-level categories are established based on the location in the continuum where a chemical interaction occurs. Second, each top-level category has two or more subcategories that are based on concepts taken from AEPs and AOPs. The categories and subcategories are potentially useful in developing standardized definitions for interaction terms and improving our understanding of the impacts of chemical interactions on risk to human health and the environment.

摘要

目前,对于组织有关可能影响联合暴露风险的各类化学相互作用的数据,尚无单一的分类法。本文提出了一种基于累积暴露途径(AEP)和不良结局途径(AOP)相结合的化学相互作用分类法(AEP-AOP框架)。AEP-AOP框架对化学物质释放的整个源-暴露-反应连续过程中发生的因果事件的数据进行组织。所提出的分类法以两种方式使用该框架。首先,根据化学相互作用发生在连续过程中的位置建立四个顶级类别。其次,每个顶级类别有两个或更多基于从AEP和AOP中提取的概念的子类别。这些类别和子类别在为相互作用术语制定标准化定义以及增进我们对化学相互作用对人类健康和环境风险影响的理解方面可能会很有用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0005/7751624/722d44958541/nihms-1539054-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0005/7751624/06168a2c25a3/nihms-1539054-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0005/7751624/6a9c2efe0646/nihms-1539054-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0005/7751624/46d4917b5d27/nihms-1539054-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0005/7751624/db9b9aa47c5d/nihms-1539054-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0005/7751624/722d44958541/nihms-1539054-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0005/7751624/06168a2c25a3/nihms-1539054-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0005/7751624/6a9c2efe0646/nihms-1539054-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0005/7751624/46d4917b5d27/nihms-1539054-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0005/7751624/db9b9aa47c5d/nihms-1539054-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0005/7751624/722d44958541/nihms-1539054-f0006.jpg

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